Overview

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STATE OF INDUSTRY in August 2022

The New York City Taxi and Limousine Commission (TLC) is the City agency responsible for regulating for-hire transportation in New York City, including yellow taxis, street hail liveries (green taxis), high-volume for-hire services such as Uber and Lyft, other for-hire vehicles such as black cars, luxury limousines, and livery vehicles, as well as commuter vans and paratransit vehicles. TLC licenses about 175,000 drivers, 115,000 cars, and 1,000 businesses, which together transport more than a million passengers a day, making TLC the most active for-hire transportation regulatory agency globally with oversight of a critical component of the City’s transportation network.

In this book each tab is a separate report with a different focus. Each report compares data to the previous month and year. Below, you will find short descriptions of each report in this book.

HVFHV

REPORTS

HVFHV

Monthly Trips

HVFHV

Trips by Borough

HVFHV

Industry Indicators

HVFHV

Wait Times

HVFHV

Crashes

Monthly Trips

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Monthly Trips Report displays monthly trip trends by industries, which are further split by sub-industries.
There are two parts to this report:
A) The right side of the report displays a list of value boxes showing monthly trip numbers by industry category. The numbers cover
July 2022 , and are compared to June 2022 and July 2021.This includes all industries except traditional FHVs, which cover June 2022 and are compared to May 2022 and June 2021.
B) The left side of the report displays overall trends of the industries and sub-industries. . The data are split by months and looks back as far as the month and year TLC began collecting that particular data set.

Monthly Trip Count by Industry from 2010 to Present

Monthly Trip Count by sub-category for the FHV Industry from January 2015 to Present

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Yellow

MED

SHL

SHL

HVFHV

HVFHV

trad

FHV

SHL Data

Livery

SHL Data

Black

SHL Data

Lux Limo

Borough Trip Stats

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Borough Trip Stats Report displays total trip counts by pickup location and industry.
These visualizations show where different industries tend to operate.
A) The pies below display industry trip shares by borough.
B) The map on the right displays how many trips happened by borough. Each borough displays its trip count for July 2022 , and compares those trips to June 2022 and July 2021
C) NOTE: Location data submitted to TLC by traditional FHV bases can not be verified and therefore are not reflected in this report.

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PICKUPs BY BOROUGH

Industry Indicators

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HVFHV

Industry Indicators 2022-08-31

Number of Drivers per Industry metric shows the counts of unique drivers that have made at least one trip in a given month. Counts are split by industry.
A) The value boxes on the right compare the latest data to the previous month and year.
B) The graphs below display temporal trends and ratios.
C) Note: TLC drivers can work in multiple industries. For example, a driver may be working for Traditional and High Volume FHV companies at the same time, and is accounted for in both metrics. Because of that, the industry totals should not be added, as that would lead to double-counting.

HVFHV

HVFHV

FHV Data

MED

Medallion Data

SHL

SHL Data

FHV

NUMBER OF DRIVERS

Number of Vehicles per Industry metric shows the counts of unique vehicles that have made at least one trip in a given month. Counts are split by industry.
A) The value boxes on the right compare the latest data with the previous month and year.
B) The graphs below display temporal trends and ratios.
C) Note: TLC vehicles can work in multiple industries. For example, a vehicle may be working for Traditional and High Volume FHV companies at the same time, and is accounted for in both metrics. Because of that, the industry totals should not be added, as that would lead to double-counting.

HVFHV

HVFHV

FHV Data

MED

Medallion Data

SHL

SHL Data

FHV

VEHICLES

Average Days Vehicles on the Road metric reflects the activity of different industries based on the average days vehicles are on the road making trips. Counts are split by industry.
A) The value boxes on the right compare the latest data with the previous month and year.
B) The graphs below display temporal trends and weighted ratios.

HVFHV

HVFHV

FHV Data

MED

Medallion Data

SHL

SHL Data

FHV

AVERAGE DAYS VEHICLES ON THE ROAD

Average Hours Per Day on the Road metric reflects the activity of different industries based on how many hours a day vehicles from that industry are on the road.
A) The value boxes on the right compare the latest data to the previous month and year.
B) The graphs below display temporal trends and ratios.

HVFHV

HVFHV

FHV Data

MED

Medallion Data

SHL

SHL Data

FHV

AVERAGE HOURS PER DAY ON THE ROAD

Average Trip Length in Minutes metric displays how long on average it took to complete a trip in a given month. Counts are split by industry.
This metric is useful to analyze traffic conditions on the road.
A) The value boxes on the right compare the latest data with the previous month and year.
B) The graphs below display temporal trends and market proportions.

HVFHV

HVFHV

FHV Data

MED

Medallion Data

SHL

SHL Data

FHV

AVERAGE TRIP LENGTH IN MINUTES

Bases Reporting Trips metric displays counts of bases that were active and dispatching trips. The counts are split by industry and are on a two month delay.
A) The value boxes on the right compare the latest data to the previous month and year.
B) The graphs below display temporal trends, as well as the latest proportion of active bases by industry.

HVFHV

HVFHV

FHV Data

Black

Medallion Data

Livery

SHL Data

Lux Limo

BASES REPORTING TRIPS

Percent of Credit Card Transactions metric displays how often customers paid with credit cards.
This metric only covers SHL and Medallions.
A) The value boxes on the right compare the latest data with the previous month and year.
B) The graphs below display temporal trends.

HVFHV

MED

FHV Data

SHL

PERCENT OF CREDIT CARD TRANSACTIONS

HVFHV Wait Times

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The High-Volume FHV Wait Times Report displays wait time by location for the HVFHV industry. Wait times is a very useful metric in determining supply and demand in different areas of the city.
A) The table below displays wait times for HVFHV by taxi zones. Data is indicated in descending order, displaying the longest wait times first. The graph below the table reflects changes in average wait time, aggregated monthly.
B) The map on the right is a visual representation of the table below. The darker the color, the longer the wait time in each taxi zone.

Average Wait Time by Zone (in minutes) in July 2022

Average Wait Time Across the City (in minutes)

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Wait Times in NYC (in minutes)

Monthly Crashes

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Monthly Crash Report displays crash, injury, and fatality counts by month and industry. This section is a visual representation of the data required by Local Law 31, which is posted on TLC’s website. Crash and injury data takes into account the number of vehicles operating within each industry.
A) The value boxes on the right compare the latest data to the previous month and year. The graphs display temporal trends.
B) The pies below represent share of crashes by industry, per 10000 vehicles.

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T

Crashes

ghg

Injuries

tt

Critical Injuries

gg

Fatal

Number of Crashes per 10000 Vehicles

Crashes Involving Injuries per 10000 Vehicles

Crashes Involving Critical Injury

Crashes Involving Fatality